Manager, eQMS Technologies
Core
Develops analytics, AI-enabled insights, and electronic quality management system capabilities to support data-driven quality and compliance decisions across R&D and Enterprise Quality.
Role type
Manager, eQMS Technologies and Data Analytics
Builds
Automated reporting, dashboards, KPI frameworks, and eQMS health metrics
Domain
Pharmaceutical Quality Management and Data Analytics
Deliverable
dashboards & analysis
Required skills
Data modeling, data quality, governance, descriptive/inferential statistics, trend analysis, quality systems knowledge, regulatory compliance
Preferred skills
Machine learning/AI techniques, model lifecycle management, risk management principles, BI tooling, SQL, Python/R scripting
Technologies
Power BI, SQL, Python, R
Responsibilities
Support development of quality analytics and AI roadmaps; Build and maintain automated reporting and dashboards; Develop advanced analytics and AI capabilities for risk signals; Partner with process owners to translate business needs into requirements; Establish data definitions and governance; Enable self-service use of dashboards; Review and approve SLC documentation; Support eQMS system ownership and health monitoring
Seniority
Manager, hands-on IC